Dai Houde, Xiong Yongsheng, Cai Guoen, Xia Xuke, Lin Zhirong
Quanzhou Institute of Equipment Manufacturing, Haixi Institutes, Chinese Academy of Sciences, Jinjiang, Fujian 362200, P.R.China.
Quanzhou Institute of Equipment Manufacturing, Haixi Institutes, Chinese Academy of Sciences, Jinjiang, Fujian 362200, P.R.China;School of Electrical and Control Engineering, North University of China, Taiyuan 030051, P.R.China.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2018 Jun 25;35(3):421-428. doi: 10.7507/1001-5515.201708069.
At present the parkinsonian rigidity assessment depends on subjective judgment of neurologists according to their experience. This study presents a parkinsonian rigidity quantification system based on the electromechanical driving device and mechanical impedance measurement method. The quantification system applies the electromechanical driving device to perform the rigidity clinical assessment tasks (flexion-extension movements) in Parkinson's disease (PD) patients, which captures their motion and biomechanical information synchronously. Qualified rigidity features were obtained through statistical analysis method such as least-squares parameter estimation. By comparing the judgments from both the parkinsonian rigidity quantification system and neurologists, correlation analysis was performed to find the optimal quantitative feature. Clinical experiments showed that the mechanical impedance has the best correlation (Pearson correlation coefficient = 0.872, < 0.001) with the clinical unified Parkinson's disease rating scale (UPDRS) rigidity score. Results confirmed that this measurement system is capable of quantifying parkinsonian rigidity with advantages of simple operation and effective assessment. In addition, the mechanical impedance can be adopted to help doctors to diagnose and monitor parkinsonian rigidity objectively and accurately.
目前,帕金森病僵硬程度的评估依赖于神经科医生根据经验进行的主观判断。本研究提出了一种基于机电驱动装置和机械阻抗测量方法的帕金森病僵硬程度量化系统。该量化系统应用机电驱动装置对帕金森病(PD)患者进行僵硬程度的临床评估任务(屈伸运动),同步采集患者的运动和生物力学信息。通过最小二乘参数估计等统计分析方法获得合格的僵硬特征。通过比较帕金森病僵硬程度量化系统和神经科医生的判断结果,进行相关性分析以找到最佳量化特征。临床实验表明,机械阻抗与临床统一帕金森病评定量表(UPDRS)僵硬程度评分具有最佳相关性(皮尔逊相关系数 = 0.872,<0.001)。结果证实,该测量系统能够量化帕金森病僵硬程度,具有操作简单、评估有效的优点。此外,机械阻抗可用于帮助医生客观、准确地诊断和监测帕金森病僵硬程度。